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Chinese Journal of Management Science ›› 2024, Vol. 32 ›› Issue (6): 323-334.doi: 10.16381/j.cnki.issn1003-207x.2022.0826

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Robust Optimization Model of Water Environment Treatment Portfolio of Big Rivers for Maximizing Enterprise Income——Taking Yangtze River Protection as an Example

Jingchun Feng1,2,3(),Yaqi Yan1,2,Ke Zhang1,2,3,Daisong Hu1,2   

  1. 1.Business School of Hohai University, Nanjing 211100, China
    2.Institute of Project Management, Hohai University, Nanjing 211100, China
    3.Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, Nanjing 211100, China
  • Received:2022-04-19 Revised:2022-07-12 Online:2024-06-25 Published:2024-07-03
  • Contact: Jingchun Feng E-mail:jcfeng@hhu.edu.cn

Abstract:

The research questions come from national strategies such as the construction of national ecological civilization and the great protection of the Yangtze River, as well as the comprehensive treatment of water environment during the 13th Five Year Plan period and the comprehensive treatment plan of water environment in key river basins during the 14th Five Year Plan Period. It comes from the comprehensive treatment portfolio of the Yangtze River Protection and water environment. One of the objectives of the water environment treatment portfolio of large rivers is to maximize the economic benefits of the treatment enterprises on the premise of ensuring the ecological utility. Therefore, it is necessary to focus on the characteristics of the water environment treatment portfolio of large rivers, such as more and more complex influencing factors, wider impact areas, more significant ecological utility and social benefits, and greater uncertainty and interference faced by the implementation of the portfolio, and carry out robust optimization research on water environment comprehensive treatment portfolio of large rivers.

Key words: water environment treatment, portfolio, robust optimization model, large rivers, Yangtze River protection, enterprise income

CLC Number: